This position has an end date of 1 year from the date of hire and offers a comprehensive benefits package which can be viewed at: Faculty & Staff Benefits.
Research assistant in watershed hydrology and integrated surface water and ground water modelling under uncertain future climate change. The successful candidate will utilize advanced hydrological models to understand the dynamics and processes involved in surface hydrology and hydrogeology. The incumbent will facilitate, by performing large data analysis and modelling, the ongoing research project in Dr. Faramarzi’s laboratory to study the climate change effects on surface water ground water interactions and their implications on sustainable management and informed decision making under uncertain future conditions in western Alberta.
- Conducts literature reviews, performs hydrologic modelling, and drafts manuscripts for publication in peer reviewed journals
- Assists graduate students in Dr. Faramarzi’s lab in their analysis of results by providing suggestions or developing required codes for graphing or mapping of their results and data
- Assists students by providing suggestions and instructions how to design a scientific paper, proper length, and providing tips in the preparation of journal articles
- Provides tutorials and teaches graduate and undergraduate students the necessary tools/software for their research program
- Assists in updating laboratory website by adding publications from the lab, add/remove job advertisements, add/remove profile information of the new coming students, and add/remove any important information related to lab activities
- Assists in compiling, storing, and organizing necessary data from research projects
- Assists Dr. Faramarzi with improving course material or preparing course outline
- Assists Dr. Faramarzi in collecting information for preparing grant proposals, and contributing to the writing where possible.
- Minimum Bachelor of Science in a relevant field. MSc degree preferred in water resources engineering, hydrogeology, earth and environmental sciences, or civil and environmental engineering field.
- Strong background in computing, scripting, and processing of large data for application in process-based hydrologic modeling.
- Strong knowledge and hands-on experience with process-based hydrogeologic models
- Strong communication skills as the position requires incumbent to effectively communicate research findings with stakeholders and project collaborators from different disciplines.
- Strong organization skills and proven effective time management to deliver multiple tasks.
- Strong scientific writing skills as the position requires incumbent to write their research results for publication in scientific journals.
- Any experience in web page designing and updates.